Journal
NEUROCOMPUTING
Volume 148, Issue -, Pages 70-74Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2012.06.066
Keywords
Artificial bee colony algorithm; Global optimization; Metaheuristics; Reduction
Categories
Ask authors/readers for more resources
This paper presents a reduction of artificial bee colony algorithm for global optimization. Artificial bee colony algorithm is an optimization technique which refers to the behavior of honeybee swarms, and a multi-point search approach which finds a best solution using multiple bees. For avoiding local minima, a number of bees are initially prepared and their positions are updated by artificial bee colony algorithm. Bees sequentially reduce to reach a predetermined number of them grounded in the evaluation value and artificial bee colony algorithm continues until the termination condition is met. In order to show the effectiveness of the proposed algorithm, we examine the best value by using test functions compared to existing algorithms. Furthermore the influence of best value on the initial number of bees for our algorithm is discussed. (C) 2014 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available